Dataset statistics
| Number of variables | 10 |
|---|---|
| Number of observations | 557 |
| Missing cells | 3 |
| Missing cells (%) | 0.1% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 41.4 KiB |
| Average record size in memory | 76.1 B |
Variable types
| NUM | 9 |
|---|---|
| CAT | 1 |
Reproduction
| Analysis started | 2020-06-03 11:44:21.559886 |
|---|---|
| Analysis finished | 2020-06-03 11:48:40.393350 |
| Duration | 4 minutes and 18.83 seconds |
| Version | pandas-profiling v2.8.0 |
| Command line | pandas_profiling --config_file config.yaml [YOUR_FILE.csv] |
| Download configuration | config.yaml |
ocean_proximity has constant value "NEAR BAY" | Constant |
households is highly correlated with total_bedrooms | High correlation |
total_bedrooms is highly correlated with households | High correlation |
longitude
Real number (ℝ)
| Distinct count | 21 |
|---|---|
| Unique (%) | 3.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -122.23524236983842 |
|---|---|
| Minimum | -122.34 |
| Maximum | -122.12 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 4.4 KiB |
Quantile statistics
| Minimum | -122.34 |
|---|---|
| 5-th percentile | -122.29 |
| Q1 | -122.27 |
| median | -122.25 |
| Q3 | -122.2 |
| 95-th percentile | -122.16 |
| Maximum | -122.12 |
| Range | 0.22 |
| Interquartile range (IQR) | 0.07 |
Descriptive statistics
| Standard deviation | 0.04335092458 |
|---|---|
| Coefficient of variation (CV) | -0.0003546516024 |
| Kurtosis | -0.7682353449 |
| Mean | -122.2352424 |
| Median Absolute Deviation (MAD) | 0.03 |
| Skewness | 0.4382330124 |
| Sum | -68085.03 |
| Variance | 0.001879302662 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| -122.27 | 62 | 11.1% | |
| -122.28 | 60 | 10.8% | |
| -122.25 | 53 | 9.5% | |
| -122.26 | 49 | 8.8% | |
| -122.29 | 36 | 6.5% | |
| -122.19 | 35 | 6.3% | |
| -122.23 | 35 | 6.3% | |
| -122.18 | 32 | 5.7% | |
| -122.24 | 32 | 5.7% | |
| -122.21 | 29 | 5.2% | |
| Other values (11) | 134 | 24.1% |
| Value | Count | Frequency (%) | |
| -122.34 | 1 | 0.2% | |
| -122.33 | 1 | 0.2% | |
| -122.3 | 18 | 3.2% | |
| -122.29 | 36 | 6.5% | |
| -122.28 | 60 | 10.8% |
| Value | Count | Frequency (%) | |
| -122.12 | 2 | 0.4% | |
| -122.13 | 5 | 0.9% | |
| -122.14 | 4 | 0.7% | |
| -122.15 | 6 | 1.1% | |
| -122.16 | 19 | 3.4% |
latitude
Real number (ℝ≥0)
| Distinct count | 18 |
|---|---|
| Unique (%) | 3.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 37.81089766606823 |
|---|---|
| Minimum | 37.73 |
| Maximum | 37.9 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 4.4 KiB |
Quantile statistics
| Minimum | 37.73 |
|---|---|
| 5-th percentile | 37.75 |
| Q1 | 37.77 |
| median | 37.81 |
| Q3 | 37.85 |
| 95-th percentile | 37.89 |
| Maximum | 37.9 |
| Range | 0.17 |
| Interquartile range (IQR) | 0.08 |
Descriptive statistics
| Standard deviation | 0.04414151472 |
|---|---|
| Coefficient of variation (CV) | 0.001167428372 |
| Kurtosis | -0.9011517507 |
| Mean | 37.81089767 |
| Median Absolute Deviation (MAD) | 0.04 |
| Skewness | 0.2635547511 |
| Sum | 21060.67 |
| Variance | 0.001948473322 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 37.77 | 54 | 9.7% | |
| 37.81 | 48 | 8.6% | |
| 37.8 | 48 | 8.6% | |
| 37.79 | 46 | 8.3% | |
| 37.78 | 41 | 7.4% | |
| 37.82 | 35 | 6.3% | |
| 37.85 | 33 | 5.9% | |
| 37.75 | 30 | 5.4% | |
| 37.76 | 29 | 5.2% | |
| 37.83 | 28 | 5.0% | |
| Other values (8) | 165 | 29.6% |
| Value | Count | Frequency (%) | |
| 37.73 | 7 | 1.3% | |
| 37.74 | 20 | 3.6% | |
| 37.75 | 30 | 5.4% | |
| 37.76 | 29 | 5.2% | |
| 37.77 | 54 | 9.7% |
| Value | Count | Frequency (%) | |
| 37.9 | 13 | 2.3% | |
| 37.89 | 22 | 3.9% | |
| 37.88 | 26 | 4.7% | |
| 37.87 | 23 | 4.1% | |
| 37.86 | 26 | 4.7% |
housing_median_age
Real number (ℝ≥0)
| Distinct count | 41 |
|---|---|
| Unique (%) | 7.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 44.81508078994614 |
|---|---|
| Minimum | 2.0 |
| Maximum | 52.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 4.4 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 26 |
| Q1 | 41 |
| median | 49 |
| Q3 | 52 |
| 95-th percentile | 52 |
| Maximum | 52 |
| Range | 50 |
| Interquartile range (IQR) | 11 |
Descriptive statistics
| Standard deviation | 9.211733341 |
|---|---|
| Coefficient of variation (CV) | 0.2055498546 |
| Kurtosis | 2.23408609 |
| Mean | 44.81508079 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | -1.536954554 |
| Sum | 24962 |
| Variance | 84.85603115 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 52 | 231 | 41.5% | |
| 50 | 23 | 4.1% | |
| 43 | 23 | 4.1% | |
| 46 | 23 | 4.1% | |
| 49 | 23 | 4.1% | |
| 41 | 18 | 3.2% | |
| 44 | 16 | 2.9% | |
| 42 | 16 | 2.9% | |
| 45 | 15 | 2.7% | |
| 39 | 14 | 2.5% | |
| Other values (31) | 155 | 27.8% |
| Value | Count | Frequency (%) | |
| 2 | 1 | 0.2% | |
| 10 | 3 | 0.5% | |
| 13 | 1 | 0.2% | |
| 14 | 1 | 0.2% | |
| 15 | 1 | 0.2% |
| Value | Count | Frequency (%) | |
| 52 | 231 | 41.5% | |
| 51 | 6 | 1.1% | |
| 50 | 23 | 4.1% | |
| 49 | 23 | 4.1% | |
| 48 | 12 | 2.2% |
total_rooms
Real number (ℝ≥0)
| Distinct count | 516 |
|---|---|
| Unique (%) | 92.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1865.5098743267504 |
|---|---|
| Minimum | 12.0 |
| Maximum | 12842.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 4.4 KiB |
Quantile statistics
| Minimum | 12 |
|---|---|
| 5-th percentile | 503.8 |
| Q1 | 1087 |
| median | 1668 |
| Q3 | 2324 |
| 95-th percentile | 3770.8 |
| Maximum | 12842 |
| Range | 12830 |
| Interquartile range (IQR) | 1237 |
Descriptive statistics
| Standard deviation | 1156.893331 |
|---|---|
| Coefficient of variation (CV) | 0.6201485967 |
| Kurtosis | 16.11583934 |
| Mean | 1865.509874 |
| Median Absolute Deviation (MAD) | 630 |
| Skewness | 2.57008092 |
| Sum | 1039089 |
| Variance | 1338402.178 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 880 | 2 | 0.4% | |
| 954 | 2 | 0.4% | |
| 2492 | 2 | 0.4% | |
| 2252 | 2 | 0.4% | |
| 2269 | 2 | 0.4% | |
| 1813 | 2 | 0.4% | |
| 2239 | 2 | 0.4% | |
| 909 | 2 | 0.4% | |
| 1420 | 2 | 0.4% | |
| 2315 | 2 | 0.4% | |
| Other values (506) | 537 | 96.4% |
| Value | Count | Frequency (%) | |
| 12 | 1 | 0.2% | |
| 96 | 1 | 0.2% | |
| 105 | 1 | 0.2% | |
| 135 | 1 | 0.2% | |
| 142 | 1 | 0.2% |
| Value | Count | Frequency (%) | |
| 12842 | 1 | 0.2% | |
| 7355 | 1 | 0.2% | |
| 7099 | 1 | 0.2% | |
| 5963 | 1 | 0.2% | |
| 5871 | 1 | 0.2% |
| Distinct count | 379 |
|---|---|
| Unique (%) | 68.4% |
| Missing | 3 |
| Missing (%) | 0.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 409.2184115523466 |
|---|---|
| Minimum | 4.0 |
| Maximum | 2477.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 4.4 KiB |
Quantile statistics
| Minimum | 4 |
|---|---|
| 5-th percentile | 124.95 |
| Q1 | 237 |
| median | 364 |
| Q3 | 480.75 |
| 95-th percentile | 865.75 |
| Maximum | 2477 |
| Range | 2473 |
| Interquartile range (IQR) | 243.75 |
Descriptive statistics
| Standard deviation | 287.2340961 |
|---|---|
| Coefficient of variation (CV) | 0.7019090247 |
| Kurtosis | 13.78927144 |
| Mean | 409.2184116 |
| Median Absolute Deviation (MAD) | 125 |
| Skewness | 2.934365032 |
| Sum | 226707 |
| Variance | 82503.42599 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 195 | 6 | 1.1% | |
| 460 | 6 | 1.1% | |
| 293 | 5 | 0.9% | |
| 263 | 4 | 0.7% | |
| 184 | 4 | 0.7% | |
| 261 | 4 | 0.7% | |
| 300 | 4 | 0.7% | |
| 574 | 4 | 0.7% | |
| 335 | 4 | 0.7% | |
| 391 | 4 | 0.7% | |
| Other values (369) | 509 | 91.4% |
| Value | Count | Frequency (%) | |
| 4 | 1 | 0.2% | |
| 29 | 1 | 0.2% | |
| 31 | 2 | 0.4% | |
| 38 | 1 | 0.2% | |
| 42 | 1 | 0.2% |
| Value | Count | Frequency (%) | |
| 2477 | 1 | 0.2% | |
| 2408 | 1 | 0.2% | |
| 2048 | 1 | 0.2% | |
| 1914 | 1 | 0.2% | |
| 1750 | 1 | 0.2% |
population
Real number (ℝ≥0)
| Distinct count | 466 |
|---|---|
| Unique (%) | 83.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 968.6840215439856 |
|---|---|
| Minimum | 18.0 |
| Maximum | 4985.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 4.4 KiB |
Quantile statistics
| Minimum | 18 |
|---|---|
| 5-th percentile | 321 |
| Q1 | 582 |
| median | 863 |
| Q3 | 1171 |
| 95-th percentile | 1931.8 |
| Maximum | 4985 |
| Range | 4967 |
| Interquartile range (IQR) | 589 |
Descriptive statistics
| Standard deviation | 580.3511967 |
|---|---|
| Coefficient of variation (CV) | 0.5991130067 |
| Kurtosis | 8.811854949 |
| Mean | 968.6840215 |
| Median Absolute Deviation (MAD) | 287 |
| Skewness | 2.217827901 |
| Sum | 539557 |
| Variance | 336807.5115 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 849 | 3 | 0.5% | |
| 496 | 3 | 0.5% | |
| 1005 | 3 | 0.5% | |
| 901 | 3 | 0.5% | |
| 506 | 3 | 0.5% | |
| 582 | 3 | 0.5% | |
| 718 | 3 | 0.5% | |
| 1085 | 3 | 0.5% | |
| 987 | 3 | 0.5% | |
| 1481 | 3 | 0.5% | |
| Other values (456) | 527 | 94.6% |
| Value | Count | Frequency (%) | |
| 18 | 1 | 0.2% | |
| 86 | 1 | 0.2% | |
| 94 | 1 | 0.2% | |
| 98 | 1 | 0.2% | |
| 125 | 1 | 0.2% |
| Value | Count | Frequency (%) | |
| 4985 | 1 | 0.2% | |
| 4367 | 1 | 0.2% | |
| 3741 | 1 | 0.2% | |
| 3668 | 1 | 0.2% | |
| 3469 | 1 | 0.2% |
| Distinct count | 376 |
|---|---|
| Unique (%) | 67.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 385.8563734290844 |
|---|---|
| Minimum | 7.0 |
| Maximum | 2323.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 4.4 KiB |
Quantile statistics
| Minimum | 7 |
|---|---|
| 5-th percentile | 120.6 |
| Q1 | 223 |
| median | 339 |
| Q3 | 460 |
| 95-th percentile | 804.6 |
| Maximum | 2323 |
| Range | 2316 |
| Interquartile range (IQR) | 237 |
Descriptive statistics
| Standard deviation | 269.9745009 |
|---|---|
| Coefficient of variation (CV) | 0.6996761476 |
| Kurtosis | 12.64546671 |
| Mean | 385.8563734 |
| Median Absolute Deviation (MAD) | 120 |
| Skewness | 2.838959545 |
| Sum | 214922 |
| Variance | 72886.23113 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 259 | 5 | 0.9% | |
| 355 | 5 | 0.9% | |
| 244 | 4 | 0.7% | |
| 335 | 4 | 0.7% | |
| 422 | 4 | 0.7% | |
| 155 | 4 | 0.7% | |
| 350 | 4 | 0.7% | |
| 340 | 4 | 0.7% | |
| 133 | 4 | 0.7% | |
| 255 | 3 | 0.5% | |
| Other values (366) | 516 | 92.6% |
| Value | Count | Frequency (%) | |
| 7 | 1 | 0.2% | |
| 23 | 1 | 0.2% | |
| 34 | 1 | 0.2% | |
| 39 | 1 | 0.2% | |
| 47 | 2 | 0.4% |
| Value | Count | Frequency (%) | |
| 2323 | 1 | 0.2% | |
| 2051 | 1 | 0.2% | |
| 1967 | 1 | 0.2% | |
| 1789 | 1 | 0.2% | |
| 1742 | 1 | 0.2% |
median_income
Real number (ℝ≥0)
| Distinct count | 530 |
|---|---|
| Unique (%) | 95.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.382615798922801 |
|---|---|
| Minimum | 0.4999 |
| Maximum | 13.499 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 4.4 KiB |
Quantile statistics
| Minimum | 0.4999 |
|---|---|
| 5-th percentile | 1.18998 |
| Q1 | 2.0938 |
| median | 2.8321 |
| Q3 | 4.0469 |
| 95-th percentile | 7.49056 |
| Maximum | 13.499 |
| Range | 12.9991 |
| Interquartile range (IQR) | 1.9531 |
Descriptive statistics
| Standard deviation | 1.977647742 |
|---|---|
| Coefficient of variation (CV) | 0.5846504184 |
| Kurtosis | 3.452196142 |
| Mean | 3.382615799 |
| Median Absolute Deviation (MAD) | 0.8983 |
| Skewness | 1.634949641 |
| Sum | 1884.117 |
| Variance | 3.911090592 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 2.875 | 4 | 0.7% | |
| 3.875 | 3 | 0.5% | |
| 3.225 | 2 | 0.4% | |
| 2.6429 | 2 | 0.4% | |
| 2.5139 | 2 | 0.4% | |
| 1.9028 | 2 | 0.4% | |
| 4.7708 | 2 | 0.4% | |
| 1.1667 | 2 | 0.4% | |
| 2.537 | 2 | 0.4% | |
| 2.125 | 2 | 0.4% | |
| Other values (520) | 534 | 95.9% |
| Value | Count | Frequency (%) | |
| 0.4999 | 1 | 0.2% | |
| 0.7286 | 1 | 0.2% | |
| 0.75 | 1 | 0.2% | |
| 0.76 | 1 | 0.2% | |
| 0.7683 | 1 | 0.2% |
| Value | Count | Frequency (%) | |
| 13.499 | 1 | 0.2% | |
| 12.3804 | 1 | 0.2% | |
| 12.2138 | 1 | 0.2% | |
| 11.8603 | 1 | 0.2% | |
| 11.6017 | 1 | 0.2% |
median_house_value
Real number (ℝ≥0)
| Distinct count | 455 |
|---|---|
| Unique (%) | 81.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 198326.22980251347 |
|---|---|
| Minimum | 60000.0 |
| Maximum | 500001.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 4.4 KiB |
Quantile statistics
| Minimum | 60000 |
|---|---|
| 5-th percentile | 82080 |
| Q1 | 112800 |
| median | 169300 |
| Q3 | 259600 |
| 95-th percentile | 391240 |
| Maximum | 500001 |
| Range | 440001 |
| Interquartile range (IQR) | 146800 |
Descriptive statistics
| Standard deviation | 103369.5674 |
|---|---|
| Coefficient of variation (CV) | 0.5212097639 |
| Kurtosis | 0.235843744 |
| Mean | 198326.2298 |
| Median Absolute Deviation (MAD) | 66500 |
| Skewness | 0.9526447519 |
| Sum | 110467710 |
| Variance | 1.068526747e+10 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 500001 | 10 | 1.8% | |
| 137500 | 7 | 1.3% | |
| 112500 | 6 | 1.1% | |
| 162500 | 5 | 0.9% | |
| 125000 | 5 | 0.9% | |
| 150000 | 4 | 0.7% | |
| 350000 | 4 | 0.7% | |
| 98200 | 3 | 0.5% | |
| 140600 | 3 | 0.5% | |
| 216700 | 3 | 0.5% | |
| Other values (445) | 507 | 91.0% |
| Value | Count | Frequency (%) | |
| 60000 | 1 | 0.2% | |
| 67500 | 1 | 0.2% | |
| 70000 | 1 | 0.2% | |
| 71300 | 1 | 0.2% | |
| 72000 | 1 | 0.2% |
| Value | Count | Frequency (%) | |
| 500001 | 10 | 1.8% | |
| 489600 | 1 | 0.2% | |
| 483300 | 1 | 0.2% | |
| 471600 | 1 | 0.2% | |
| 466100 | 1 | 0.2% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.First rows
| longitude | latitude | housing_median_age | total_rooms | total_bedrooms | population | households | median_income | median_house_value | ocean_proximity | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | -122.23 | 37.88 | 41.0 | 880.0 | 129.0 | 322.0 | 126.0 | 8.3252 | 452600.0 | NEAR BAY |
| 1 | -122.22 | 37.86 | 21.0 | 7099.0 | 1106.0 | 2401.0 | 1138.0 | 8.3014 | 358500.0 | NEAR BAY |
| 2 | -122.24 | 37.85 | 52.0 | 1467.0 | 190.0 | 496.0 | 177.0 | 7.2574 | 352100.0 | NEAR BAY |
| 3 | -122.25 | 37.85 | 52.0 | 1274.0 | 235.0 | 558.0 | 219.0 | 5.6431 | 341300.0 | NEAR BAY |
| 4 | -122.25 | 37.85 | 52.0 | 1627.0 | 280.0 | 565.0 | 259.0 | 3.8462 | 342200.0 | NEAR BAY |
| 5 | -122.25 | 37.85 | 52.0 | 919.0 | 213.0 | 413.0 | 193.0 | 4.0368 | 269700.0 | NEAR BAY |
| 6 | -122.25 | 37.84 | 52.0 | 2535.0 | 489.0 | 1094.0 | 514.0 | 3.6591 | 299200.0 | NEAR BAY |
| 7 | -122.25 | 37.84 | 52.0 | 3104.0 | 687.0 | 1157.0 | 647.0 | 3.1200 | 241400.0 | NEAR BAY |
| 8 | -122.26 | 37.84 | 42.0 | 2555.0 | 665.0 | 1206.0 | 595.0 | 2.0804 | 226700.0 | NEAR BAY |
| 9 | -122.25 | 37.84 | 52.0 | 3549.0 | 707.0 | 1551.0 | 714.0 | 3.6912 | 261100.0 | NEAR BAY |
Last rows
| longitude | latitude | housing_median_age | total_rooms | total_bedrooms | population | households | median_income | median_house_value | ocean_proximity | |
|---|---|---|---|---|---|---|---|---|---|---|
| 547 | -122.27 | 37.77 | 52.0 | 1710.0 | 481.0 | 849.0 | 457.0 | 2.7115 | 220800.0 | NEAR BAY |
| 548 | -122.27 | 37.77 | 52.0 | 2388.0 | 559.0 | 1121.0 | 518.0 | 3.3269 | 234500.0 | NEAR BAY |
| 549 | -122.25 | 37.77 | 52.0 | 2156.0 | 458.0 | 872.0 | 445.0 | 3.2685 | 254200.0 | NEAR BAY |
| 550 | -122.26 | 37.77 | 52.0 | 1565.0 | 315.0 | 637.0 | 297.0 | 4.7778 | 351800.0 | NEAR BAY |
| 551 | -122.26 | 37.77 | 52.0 | 1704.0 | 371.0 | 663.0 | 340.0 | 4.2260 | 275000.0 | NEAR BAY |
| 552 | -122.26 | 37.77 | 52.0 | 1210.0 | 168.0 | 411.0 | 172.0 | 3.3571 | 405400.0 | NEAR BAY |
| 553 | -122.26 | 37.77 | 52.0 | 2097.0 | 444.0 | 915.0 | 413.0 | 2.9899 | 228100.0 | NEAR BAY |
| 554 | -122.26 | 37.77 | 52.0 | 1848.0 | 479.0 | 921.0 | 477.0 | 2.8750 | 234000.0 | NEAR BAY |
| 555 | -122.24 | 37.77 | 43.0 | 955.0 | 284.0 | 585.0 | 266.0 | 2.3882 | 162500.0 | NEAR BAY |
| 556 | -122.25 | 37.77 | 43.0 | 4329.0 | 1110.0 | 2086.0 | 1053.0 | 2.9750 | 243400.0 | NEAR BAY |